| { | |
| "WEIGHT_DIMENSIONS": { | |
| "decoder.embedding.dtype": "torch.float32", | |
| "decoder.embedding.shape": [ | |
| 15005, | |
| 300 | |
| ] | |
| }, | |
| "architectures": [ | |
| "RedialGen" | |
| ], | |
| "decoder_params": { | |
| "context_size": 256, | |
| "hidden_size": 256, | |
| "num_layers": 1, | |
| "peephole": false | |
| }, | |
| "hrnn_params": { | |
| "conv_bidirectional": false, | |
| "conversation_encoder_hidden_size": 256, | |
| "conversation_encoder_num_layers": 1, | |
| "sentence_encoder_hidden_size": 256, | |
| "sentence_encoder_model": "princeton-nlp/unsup-simcse-roberta-base", | |
| "sentence_encoder_num_layers": 1, | |
| "use_dropout": false, | |
| "use_movie_occurrences": false | |
| }, | |
| "n_movies": 6924, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.33.2", | |
| "vocab_size": 15005 | |
| } | |